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Genetic Systems Programming

area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with;

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Development of Trading Systems using Genetic Programming with a Case Study

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Robust Control Systems with Genetic Algorithms

most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;

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Robust Control Systems with Genetic Algorithms

most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;

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Evolutionary Programming IV

methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Option Pricing by Means of Genetic Programming

Option Pricing by Means of Genetic Programming is een boek van Andreas Heigl;

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Adaptive Business Intelligence

. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy;

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Adaptive Business Intelligence

. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy;

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Genetic Algorithms and Genetic Programming in Computational Finance

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance;

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Genetic Algorithms and Genetic Programming in Computational Finance

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance;

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Linear Genetic Programming

Linear Genetic Programming presents a variant of Genetic Programming that evolves imperative computer programs as linear sequences;

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Exploring Critical Approaches of Evolutionary Computation

variety of fields. It also emphasizes evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems;

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Implementing Computational Intelligence Techniques for Security Systems Design

algorithms that take advantage of approaches based on computational intelligence techniques, such as genetic algorithms, genetic programming, and so;

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Implementing Computational Intelligence Techniques for Security Systems Design

algorithms that take advantage of approaches based on computational intelligence techniques, such as genetic algorithms, genetic programming, and so;

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Advances and Applications of Genetic Programming

The evolutionary algorithm-based methodology of genetic programming has been described in this book along with its applications. Genetic;

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Genetic Programming

This book constitutes the refereed proceedings of the 11th European Conference on Genetic Programming, EuroGP 2009, held in Tubingen;

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Mechatronic Design Automation

This book proposes a novel design method that combines both genetic programming (GP) to automatically explore the open-ended design space;

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Modelling, Simulation and Control of Non-linear Dynamical Systems

is presented. It is illustrated with examples on the PROLOG programming language. Second, a new fuzzy-genetic approach to automated simulation;

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Genetic Algorithms with Python

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello;

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Genetic Programming

This book constitutes the refereed proceedings of the 20th European Conference on Genetic Programming, EuroGP 2017, held in Amsterdam, The;

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Optimisation in Signal and Image Processing

approach; hidden Markov models; and, metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization;

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Simulating Ecological and Evolutionary Systems in C

testing random number generators, producing PostScript files, root-finding, numerical integration and using the genetic algorithm.;

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Thermal System Design and Optimization

applicable to thermal systems, followed by the methods to accomplish them. It introduces contemporary techniques like Genetic Algorithms, Simulated;

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Thermal System Design and Optimization

applicable to thermal systems, followed by the methods to accomplish them. It introduces contemporary techniques like Genetic Algorithms, Simulated;

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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved;

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